Improving code coverage
Code coverage improvement with Runbooks involves using AI to analyze your existing test suite, identify coverage gaps, and automatically generate comprehensive tests to improve overall code coverage. Unlike manual test writing that can miss edge cases and be time-consuming, Runbooks can systematically ensure all code paths are tested with meaningful, maintainable test cases.
When to use
Ideal scenarios
Low test coverage
Legacy code testing
Critical path validation
Regression prevention
Ci/cd quality gates
Perfect for teams that
Need to meet specific code coverage targets for compliance or quality
Have legacy codebases with minimal test coverage
Want to improve confidence in deployments and releases
Need to add tests quickly without sacrificing quality
Struggle with writing comprehensive edge case tests
Code coverage improvement strategies
Available coverage enhancement templates
Unit test generation
Generates comprehensive unit tests for untested functions and methods
Creates tests for edge cases and boundary conditions
Implements proper mocking and isolation patterns
Adds parameterized tests for multiple input scenarios
Integration test creation
Builds integration tests for component interactions
Tests API endpoints with various input combinations
Validates database operations and data flow
Creates end-to-end workflow testing
Edge case and error handling tests
Identifies and tests error conditions and exception paths
Creates tests for boundary values and invalid inputs
Validates error messages and recovery mechanisms
Tests timeout and resource constraint scenarios
Regression test suite development
Converts bug reports into permanent regression tests
Creates tests that prevent specific issues from reoccurring
Builds comprehensive test suites for critical business logic
Implements property-based testing for complex scenarios
Without using templates
1. Coverage analysis and gap identification
Start by describing your coverage improvement goals:
What Runbooks does:
Analyzes your current test suite and coverage reports
Identifies specific functions, classes, and code paths lacking coverage
Maps critical business logic that requires comprehensive testing
Creates a prioritized plan focusing on high-risk, low-coverage areas
2. Coverage gap analysis
Runbooks performs comprehensive analysis:
Line coverage
Branch coverage
Function coverage
Edge case coverage
Integration points
3. Test generation strategy
The AI creates a systematic test generation plan:
Critical path coverage
Edge case generation
Integration testing
Regression prevention
Maintenance strategy
4. Implementation and validation
Runbooks implements coverage improvements systematically:
Generates tests that follow existing project patterns and conventions
Creates meaningful test names and clear assertions
Implements proper setup and teardown procedures
Validates that new tests actually improve meaningful coverage
Real-world code coverage examples
Example 1: Payment processing coverage
Uncovered payment function:
Generated comprehensive test suite:
Example 2: Error handling coverage
Uncovered error handling logic:
Generated error handling test suite:
See also
Last updated
Was this helpful?
